AIthena partners focused on reviewing progress, evaluating key activities, and mapping out a strategic plan for the project's final year during their preparatory meeting in Austria.
The Artificial Intelligence Trustworthy Explainable and Accountable (AIthena) project aims to drive the integration of artificial intelligence (AI) into connected and automated mobility technologies.
Project partners met in Graz, Austria, for a key meeting hosted by Virtual Vehicle Research. The group reviewed progress, planned next steps and mapped out a clear strategy for the project's final year.
Discussions covered updates on data management, explainable AI developments, tools, testing and upcoming events. The partners also finalised plans for technical demonstrations and prepared for the next round of use case testing, while setting the stage for future collaborations linked to major events like the European Conference on Connected and Automated Driving and the European Conference on Results from Road Transport Research.
A highlight of the first day was an IRU-led workshop that refined the list of exploitable results and advanced plans for their practical use and commercialisation. The workshop aligned AIthena’s solutions with stakeholder needs, ensuring they are ready for real-world applications.
The AIthena project supports EU priorities such as simplifying compliance with the Artificial Intelligence Act (AIA) and building trust in AI.
Aligned with IRU’s goals for safe, sustainable and efficient mobility through innovation, the project was presented to the IRU Commission on Technical Affairs in September, strengthening its role as a link between advanced research and practical transport solutions.
IRU is shaping the future of transport and logistics by developing frameworks and solutions to support next-generation mobility systems powered by AI and emerging technologies.